Content
- Introduction on data analysis
- Quantitative proteomics data analysis - overview
- Visualisation
- Quantitative proteomics data analysis - examples
- Data analysis
- References and resources
Laurent Gatto
Laurent Gatto – https://lgatto.github.io
Acknowledgements BBSRC for funding; Sebastian Gibb and Lisa Breckels for coding.
(Last update Mon Mar 28 21:59:44 2016)
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The ability to prepare and explore data, identify patterns (good and pathological ones) and convince oneself that the pattern are genuine (rather than random).
A picture is worth a thousand words.
Graphics reveal data.
should enables you to manipulate your data, give some guarantees about the integrity of the data, support effective extract/subset components of the data, visualise them, enable transformation of the data, give access to infrastucture for statistical analysis, and enable annotation of the data.
MSnSet class for quantitative data
Can be subsetted, transformed, visualised, annotated, statistics, …